This release is a pre-release and may not be stable for production use.
Rapid Optimization Library (ROL)
ROL (as in rock and roll) is a high-performance C++ library for numerical optimization. ROL brings an extensive collection of state-of-the-art optimization algorithms to virtually any application. Its programming interface supports any computational hardware, including heterogeneous many-core systems with digital and analog accelerators. ROL has been used with great success for optimal control, optimal design, inverse problems, image processing and mesh optimization, in application areas including geophysics, structural dynamics, fluid dynamics, electromagnetics, quantum computing, hypersonics and geospatial imaging.
For additional details, see https://rol.sandia.gov.
Feature highlights:
- Vector abstractions and matrix-free interface for universal applicability
- Modern algorithms for unconstrained and constrained optimization
- Easy-to-use methods for stochastic and risk-aware optimization
- Fast and robust algorithms for nonsmooth optimization
- Trust-region methods for inexact and adaptive computations
- PDE-OPT application development kit for PDE-constrained optimization
Copyright and License
See COPYRIGHT and LICENSE.
Questions?
Contact team or developers:
- ROL Team (GitHub handle: @sandialabs/rol)
- Drew Kouri (GitHub handle: dpkouri or dpkouri@sandia.gov)
- Denis Ridzal (GitHub handle: dridzal or dridzal@sandia.gov)
Release files for rol-python 2025.9.10.dev1712
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Built distributions (wheels)
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Release files / rol_python-2025.9.10.dev1712.tar.gz
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